. Elements of statistics. Statistics. SAMPLING NORMAL POPULATIONS Ch. 6 162 observations. The ^'s were computed from formula , using n = 60 and the x's obtained from the samples. For example, if the x = and Si is calculated from formula to be , t = ( - 60) = TABLE Observed Frequency Distribution op 580 U Obtained from Samples of 10 Members Each Drawn from a Normal Population with ^t = 60 and (T = 10 Class Interval / Class Interval / > 1 to 17 .04 to 4 to 3 .01 to 16 .99 <
. Elements of statistics. Statistics. SAMPLING NORMAL POPULATIONS Ch. 6 162 observations. The ^'s were computed from formula , using n = 60 and the x's obtained from the samples. For example, if the x = and Si is calculated from formula to be , t = ( - 60) = TABLE Observed Frequency Distribution op 580 U Obtained from Samples of 10 Members Each Drawn from a Normal Population with ^t = 60 and (T = 10 Class Interval / Class Interval / > 1 to 17 .04 to 4 to 3 .01 to 16 .99 < 1 .00 to 54 .96 to 127 .87 Total 580 to 187 .65 to 115 .33 Arithmetic mean = + to 55 .13 Standard deviation = Figure presents the frequency and the relative cumulative fre- quency distribution curves corresponding to Table The == t Figure Frequency distribution of 580 sample values of t drawn normal population with /j. = 60, <x = 10, and n = 10. from a curve of Figure furnishes information concerning the population of ti for n = 10 which is entirely analogous to that to be had from Table III for normal frequency distributions. Figure shows that: (a) The point where ^ = 0 on the horizontal axis divides the population of t's into two equal portions, each containing , or 50 per cent, of the whole population (as with the normal distribution. Please note that these images are extracted from scanned page images that may have been digitally enhanced for readability - coloration and appearance of these illustrations may not perfectly resemble the original Fryer, Holly Claire. Wiley
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